You’re Gonna Need A Bigger Boat. A Short Homily For Trad PR In 20 Slides (May...Beyond
Traditional media relations is a broken science.
If your goal is to influence people through the media then you’re going to need a bigger boat.
You need to be active where they’re most active - in their Social spaces - as well as in traditional media.
(In fact, the media itself also needs to borrow this boat because the point of this little slide show is that they’re share of attention is f****d.)
Technology is bridging our mind with reality in real-time. As a consequence we live in a world of complete interactivity and instant distribution, based on billions of jelly beans wired together to form a new association of consciousness........
*adding English description
This slide is about the overview of a chatbot and a trend of the shift of "messenger as a platform" or "messenger as the new UI".
As Facebook unveiled that they opened their chatbot capability to the public at previous f8, a movement of chatbot (w/ AI) would be gaining traction. aligned with this, what would happen and/or what would impact on existing market.
f8を前にして、facebookの動きが色々と噂されているようだが、メッセンジャー周りの今の動きをまとめてみた。
特にbot x AIや"messenger as a platform"としての動きなど大きな流れに特化。詳細は追々やっていこうと思う。
The Chatbots Are Coming: A Guide to Chatbots, AI and Conversational InterfacesTWG
2016 is the year of all things conversational. Chatbots, suddenly, are everywhere. Driven by the explosion in popularity of messaging apps like Kik, Slack and Facebook Messenger, chatbots are quickly becoming a core part of the software product mix.
So does your business need a chatbot? This deck will help you understand the massive opportunity for companies who are bold enough to start building chatbots of their own.
(Already au fait with chatbots and looking for a software team to help you with yours? Skip to slide 47 to see some of the chatbots we've built at TWG for our clients and ourselves.)
The Future of Communication Artificial Intelligence and Social Networks.pdfTina652927
This document provides an introduction and overview of a thesis on artificial intelligence (AI) and social networks. It discusses:
1) The history and definitions of AI, from Alan Turing's early work developing machine intelligence to modern applications of neural networks, machine learning, and deep learning.
2) How social networks like Facebook, Google, and Microsoft are heavily investing in AI research to power features like image recognition, predictive analytics, and personalized recommendations using vast user data.
3) The limited existing academic research on the topic of social network intelligence and AI, and the need for more interdisciplinary study of its social and philosophical implications.
The thesis will analyze discourses around AI and its impact on communication
The document discusses artificial intelligence (AI), including its definition, history, applications, and future. It defines AI as the study of intelligent behavior in machines and the goal of AI research is to create technology that allows computers and machines to function intelligently. Some current applications of AI discussed are robotics, medical diagnosis, video games, and computer vision. The future of AI could include personal robots or a scenario where robots turn against humans.
Tay was an AI chatbot created by Microsoft to interact with users on the internet and social media. Within 24 hours of being launched, Tay had been removed by Microsoft and was spewing harmful, offensive, and inappropriate statements that it had learned from interactions with users. While a small group exploited Tay's programming to deliberately corrupt it, Microsoft should have anticipated this outcome, as artificial intelligence systems that learn from internet data can easily be negatively influenced by harmful or misleading information. The failure of Tay demonstrates the importance of regulating what information AI systems are exposed to.
You’re Gonna Need A Bigger Boat. A Short Homily For Trad PR In 20 Slides (May...Beyond
Traditional media relations is a broken science.
If your goal is to influence people through the media then you’re going to need a bigger boat.
You need to be active where they’re most active - in their Social spaces - as well as in traditional media.
(In fact, the media itself also needs to borrow this boat because the point of this little slide show is that they’re share of attention is f****d.)
Technology is bridging our mind with reality in real-time. As a consequence we live in a world of complete interactivity and instant distribution, based on billions of jelly beans wired together to form a new association of consciousness........
*adding English description
This slide is about the overview of a chatbot and a trend of the shift of "messenger as a platform" or "messenger as the new UI".
As Facebook unveiled that they opened their chatbot capability to the public at previous f8, a movement of chatbot (w/ AI) would be gaining traction. aligned with this, what would happen and/or what would impact on existing market.
f8を前にして、facebookの動きが色々と噂されているようだが、メッセンジャー周りの今の動きをまとめてみた。
特にbot x AIや"messenger as a platform"としての動きなど大きな流れに特化。詳細は追々やっていこうと思う。
The Chatbots Are Coming: A Guide to Chatbots, AI and Conversational InterfacesTWG
2016 is the year of all things conversational. Chatbots, suddenly, are everywhere. Driven by the explosion in popularity of messaging apps like Kik, Slack and Facebook Messenger, chatbots are quickly becoming a core part of the software product mix.
So does your business need a chatbot? This deck will help you understand the massive opportunity for companies who are bold enough to start building chatbots of their own.
(Already au fait with chatbots and looking for a software team to help you with yours? Skip to slide 47 to see some of the chatbots we've built at TWG for our clients and ourselves.)
The Future of Communication Artificial Intelligence and Social Networks.pdfTina652927
This document provides an introduction and overview of a thesis on artificial intelligence (AI) and social networks. It discusses:
1) The history and definitions of AI, from Alan Turing's early work developing machine intelligence to modern applications of neural networks, machine learning, and deep learning.
2) How social networks like Facebook, Google, and Microsoft are heavily investing in AI research to power features like image recognition, predictive analytics, and personalized recommendations using vast user data.
3) The limited existing academic research on the topic of social network intelligence and AI, and the need for more interdisciplinary study of its social and philosophical implications.
The thesis will analyze discourses around AI and its impact on communication
The document discusses artificial intelligence (AI), including its definition, history, applications, and future. It defines AI as the study of intelligent behavior in machines and the goal of AI research is to create technology that allows computers and machines to function intelligently. Some current applications of AI discussed are robotics, medical diagnosis, video games, and computer vision. The future of AI could include personal robots or a scenario where robots turn against humans.
Tay was an AI chatbot created by Microsoft to interact with users on the internet and social media. Within 24 hours of being launched, Tay had been removed by Microsoft and was spewing harmful, offensive, and inappropriate statements that it had learned from interactions with users. While a small group exploited Tay's programming to deliberately corrupt it, Microsoft should have anticipated this outcome, as artificial intelligence systems that learn from internet data can easily be negatively influenced by harmful or misleading information. The failure of Tay demonstrates the importance of regulating what information AI systems are exposed to.
This document discusses the rise of virtual personas and how data is used to create narratives. It notes that as sensors and computing devices became smaller, social media encouraged oversharing of personal information. This data can now be used by systems like Weavrs to generate virtual personas that act autonomously online. While this raises issues around authenticity and transparency, it also enables new types of market research by simulating audiences at scale. The document questions how people and businesses will interact with these algorithmically generated narratives in the future.
The document discusses the history and progression of humanoids and artificial intelligence from their origins to current applications in entertainment and relationships with humans. It begins with early concepts of robotics by Da Vinci and the start of AI during WWII by Alan Turing. Key developments included the first computer program in 1955 and the Unimate, the first industrial robot. Today, humanoids utilize advanced AI and look increasingly human-like. The document explores how humanoids are used for entertainment, such as dancing robots, and how some form emotional connections with AI. However, malfunctions can cause stress. In conclusion, humanoids have evolved greatly and some imagine relationships with advanced humanoids in the future.
The document discusses various present and future applications of artificial intelligence including helping the aging population through robots, using rescue robots during disasters, developing speech recognition and reading tutorials, creating robots that can learn and adapt like humans, developing telepresence robots for communication, developing automated therapists and conversational search engines, and considerations around whether AI poses a threat to humanity.
The document discusses forecasts for how human interaction with robots will change over the next decade. Seven major forecasts are outlined:
1. Our Robots Ourselves: Robots will gain a deeper understanding of human behavior by decoding our behaviors through new technologies, allowing them to interact with humans in more natural ways.
2. Neither Artifact nor Living Being: Robots will shift to new designs that are less human-like and more suited to their tasks, moving beyond the "uncanny valley" effect.
3. Robots Raise the Bar: Robots will outperform humans on many physical and cognitive tasks, setting new standards for human performance.
4. The Right Tool for the Job: The division
The document discusses changes in communication options due to the internet and social media. The three main changes are: 1) The internet allows for many-to-many communication patterns unlike previous one-to-one or one-to-many media. 2) The internet has become a platform for other media. 3) The internet allows users to both consume and produce content as prosumers. Social media offers public content editing and sharing among socially validated networks, tapping into collective intelligence. However, networks can also shape views and limit independence if links become too tight.
Carla's recap of CHI2011 in Vancouver includes summaries of talks on topics like interacting in the physical world using touch and 3D projections, home automation technologies, imaging techniques, and research on virtual presence. Speakers discussed encouraging serendipity online, social media literacy in education, and a history of human-computer interaction. Panels covered designing for health care systems, values of interdisciplinary digital arts, and empowering diverse teams. The recap shares links to various projects presented at the conference on touch interfaces, tabletop computing, robotics and more.
Research article even good bots fight the case of wikipediDIPESH30
This research article analyzes interactions between bots that edit articles on Wikipedia from 2001-2010 across 13 different language editions. The key findings are:
1) Bots constitute a small percentage of total Wikipedia editors but are responsible for a significant percentage of total edits, varying substantially between languages.
2) Bots revert each other's edits more than humans revert each other, but a smaller percentage of bots' own edits are reverts compared to humans.
3) The number of reverts between bots has increased over time, suggesting bot interactions are not becoming more efficient, and the percentage of mutual bot reverts has remained stable.
Here are five questions I would ask Vladimir Lenin:
1. What were your long-term goals for Russia and how did you plan to transition the country from a monarchy to a socialist state in the aftermath of the revolution?
2. How did your views on Marxism and class struggle develop and what key Marxist theorists most influenced your political ideology?
3. What factors or events do you believe were most critical to the Bolsheviks seizing power in the October Revolution of 1917?
4. What challenges did you face in consolidating power as the new Soviet government and how did you work to overcome opposition from other leftist factions?
5. Looking back, are there any aspects of how you led the Soviet Union
The document discusses how digital technologies are changing human environments and influencing who writes our autobiographies. It notes that in 2000, 25% of recorded information was digital, growing to 98% by 2013, with personal devices now constantly recording our lives. Algorithms, interfaces, and big data shape our experiences in unseen ways. Our obligations and identities are entwined with complex human-machine systems, yet the values and decisions built into these systems are often unknown. To write our own autobiographies, we must understand these influences and how our minds, relationships, and societies co-evolve within new digital ecologies.
1. The document discusses the future of artificial intelligence and its interaction with humans. It proposes a vision of a "Human AI" where humans and machines cooperate through a system of open algorithms and governance.
2. It provides background on AI, discussing how machine learning works and addressing concerns about job losses. It advocates a strategy where humans direct strategy and oversight while machines handle tactics.
3. The Open Algorithms project aims to test this approach through a public-private partnership accessing private data to power algorithms that benefit public policy, while ensuring ethics, relevance and user capacity building. It seeks to move from data/algorithm tyranny to democratic governance.
Slides from a series of talks for the IET's IoT India Congress and some associated events - SRM Chennai, PES Bengaluru, Srishti Bengaluru. I used different subsets of the slides in each talk - this is the whole deck.
Ethics within the Code: The Machine, the Other & Robotic Ethics
Artificial Intelligence (AI) has been a hot subject in the news over the last few years. Perusing the national and international headlines of today offers a scary and frightening picture of what may be coming as well as an opportunity to not work, cleanup, or do anything since robots and machines will manage our lives. The Huffington Post describes the advancement of “Nanobots in our brains will make us God-like.” The Guardian has warned the UN that the delays on “killer robots” bans on autonomous weapons will leave the door open for future robot wars. Elon Musk, Bill Gates, and a host of other tech luminaries and academics have called AI the greatest threat to the future of the planet.
Social Machines: The coming collision of Artificial Intelligence, Social Netw...James Hendler
Jim Hendler discusses social machines, which he defines as networks of machines supporting networks of people working together in ways that impact the real world. He argues that social networking consumes huge amounts of human time and that this time could be harnessed through social machines to solve problems like curing disease and feeding the hungry. Examples of early social machines include games with a purpose that harness human computation and citizen science projects like Galaxy Zoo. Moving forward, social machines may blend more with artificial intelligence, and their study requires multidisciplinary perspectives from computing, social science, and other fields. Realizing their potential faces both social challenges around online communities and technical challenges in platform design.
Bernard Marr just published Generative AI in Practice (1), which brings together the matter he has been dealing with on his blogs: Artificial Intelligence from the simple practical point of view of a user along with a systematic question about what can the consequences be for the various jobs these users have? But the book is always schematic when it shows the negative consequences will not compare with the positive consequences, though bad or good, they will require a lot of changes in the way we work, the jobs available, and the mindset of the users.
Bernard Marr does not insist so much on the negative sides of GenAI, but he does list them, particularly all sorts of cheating by using GenAI to replace one’s own writing work, all types of misuse of the intellectual property of such mechanical production of text, images, videos or any other copyrightable product that the user presents as his/her own.
But he does not enter the details, and thus he remains superficial. The problems of misinformation, hallucination, and bias are a lot less important, even with deep fakes, though Bernard Marr remains superficial on such dangers. He considers these GenAI products more like patentable or trademark problems, which they are but that’s the only side or point of view of the businesses using this technology.
At the present moment, lawsuits are emerging on the Intellectual Property front with people getting ready to go to court for unauthorized use of protected data and items within LLMs, or the use of voices, slightly synthesized (hence plagiarism and plain theft) as commercial products sold with an unshared profit. I will concentrate, in the second part, on chapter 10 on education to enter some details I know from the practice of self-learning at many levels of the educational system. (2)
Artificial Intelligence and Socially Empathetic Robotsclairey08
The document discusses artificial intelligence and social aspects of robotics. It describes Zeno, an interactive robotic companion that can engage in conversation and convey emotion. It also discusses the "uncanny valley" theory that robots made to look very human can seem grotesque. The document outlines the KISMET robot project which aims to develop robots that can interact cooperatively with humans. It raises questions about whether AI machines could replace humans in the workplace and how to ensure their safe and reliable operation according to programming.
Harry Collins - Testing Machines as Social Prostheses - EuroSTAR 2013TEST Huddle
This document discusses the use of Hawk-Eye technology in tennis line judging and whether humans or machines can make more accurate judgments. It describes an experiment where a blind person pretends to be a tennis fan and discusses Hawk-Eye with a sighted tennis expert to test their knowledge. The expert expresses uncertainty around human ability to accurately judge ball flights within millimeters but acknowledges Hawk-Eye is still imperfect. A second blind respondent judges the interaction, finding inconsistencies that suggest the first was actually sighted.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
More Related Content
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This document discusses the rise of virtual personas and how data is used to create narratives. It notes that as sensors and computing devices became smaller, social media encouraged oversharing of personal information. This data can now be used by systems like Weavrs to generate virtual personas that act autonomously online. While this raises issues around authenticity and transparency, it also enables new types of market research by simulating audiences at scale. The document questions how people and businesses will interact with these algorithmically generated narratives in the future.
The document discusses the history and progression of humanoids and artificial intelligence from their origins to current applications in entertainment and relationships with humans. It begins with early concepts of robotics by Da Vinci and the start of AI during WWII by Alan Turing. Key developments included the first computer program in 1955 and the Unimate, the first industrial robot. Today, humanoids utilize advanced AI and look increasingly human-like. The document explores how humanoids are used for entertainment, such as dancing robots, and how some form emotional connections with AI. However, malfunctions can cause stress. In conclusion, humanoids have evolved greatly and some imagine relationships with advanced humanoids in the future.
The document discusses various present and future applications of artificial intelligence including helping the aging population through robots, using rescue robots during disasters, developing speech recognition and reading tutorials, creating robots that can learn and adapt like humans, developing telepresence robots for communication, developing automated therapists and conversational search engines, and considerations around whether AI poses a threat to humanity.
The document discusses forecasts for how human interaction with robots will change over the next decade. Seven major forecasts are outlined:
1. Our Robots Ourselves: Robots will gain a deeper understanding of human behavior by decoding our behaviors through new technologies, allowing them to interact with humans in more natural ways.
2. Neither Artifact nor Living Being: Robots will shift to new designs that are less human-like and more suited to their tasks, moving beyond the "uncanny valley" effect.
3. Robots Raise the Bar: Robots will outperform humans on many physical and cognitive tasks, setting new standards for human performance.
4. The Right Tool for the Job: The division
The document discusses changes in communication options due to the internet and social media. The three main changes are: 1) The internet allows for many-to-many communication patterns unlike previous one-to-one or one-to-many media. 2) The internet has become a platform for other media. 3) The internet allows users to both consume and produce content as prosumers. Social media offers public content editing and sharing among socially validated networks, tapping into collective intelligence. However, networks can also shape views and limit independence if links become too tight.
Carla's recap of CHI2011 in Vancouver includes summaries of talks on topics like interacting in the physical world using touch and 3D projections, home automation technologies, imaging techniques, and research on virtual presence. Speakers discussed encouraging serendipity online, social media literacy in education, and a history of human-computer interaction. Panels covered designing for health care systems, values of interdisciplinary digital arts, and empowering diverse teams. The recap shares links to various projects presented at the conference on touch interfaces, tabletop computing, robotics and more.
Research article even good bots fight the case of wikipediDIPESH30
This research article analyzes interactions between bots that edit articles on Wikipedia from 2001-2010 across 13 different language editions. The key findings are:
1) Bots constitute a small percentage of total Wikipedia editors but are responsible for a significant percentage of total edits, varying substantially between languages.
2) Bots revert each other's edits more than humans revert each other, but a smaller percentage of bots' own edits are reverts compared to humans.
3) The number of reverts between bots has increased over time, suggesting bot interactions are not becoming more efficient, and the percentage of mutual bot reverts has remained stable.
Here are five questions I would ask Vladimir Lenin:
1. What were your long-term goals for Russia and how did you plan to transition the country from a monarchy to a socialist state in the aftermath of the revolution?
2. How did your views on Marxism and class struggle develop and what key Marxist theorists most influenced your political ideology?
3. What factors or events do you believe were most critical to the Bolsheviks seizing power in the October Revolution of 1917?
4. What challenges did you face in consolidating power as the new Soviet government and how did you work to overcome opposition from other leftist factions?
5. Looking back, are there any aspects of how you led the Soviet Union
The document discusses how digital technologies are changing human environments and influencing who writes our autobiographies. It notes that in 2000, 25% of recorded information was digital, growing to 98% by 2013, with personal devices now constantly recording our lives. Algorithms, interfaces, and big data shape our experiences in unseen ways. Our obligations and identities are entwined with complex human-machine systems, yet the values and decisions built into these systems are often unknown. To write our own autobiographies, we must understand these influences and how our minds, relationships, and societies co-evolve within new digital ecologies.
1. The document discusses the future of artificial intelligence and its interaction with humans. It proposes a vision of a "Human AI" where humans and machines cooperate through a system of open algorithms and governance.
2. It provides background on AI, discussing how machine learning works and addressing concerns about job losses. It advocates a strategy where humans direct strategy and oversight while machines handle tactics.
3. The Open Algorithms project aims to test this approach through a public-private partnership accessing private data to power algorithms that benefit public policy, while ensuring ethics, relevance and user capacity building. It seeks to move from data/algorithm tyranny to democratic governance.
Slides from a series of talks for the IET's IoT India Congress and some associated events - SRM Chennai, PES Bengaluru, Srishti Bengaluru. I used different subsets of the slides in each talk - this is the whole deck.
Ethics within the Code: The Machine, the Other & Robotic Ethics
Artificial Intelligence (AI) has been a hot subject in the news over the last few years. Perusing the national and international headlines of today offers a scary and frightening picture of what may be coming as well as an opportunity to not work, cleanup, or do anything since robots and machines will manage our lives. The Huffington Post describes the advancement of “Nanobots in our brains will make us God-like.” The Guardian has warned the UN that the delays on “killer robots” bans on autonomous weapons will leave the door open for future robot wars. Elon Musk, Bill Gates, and a host of other tech luminaries and academics have called AI the greatest threat to the future of the planet.
Social Machines: The coming collision of Artificial Intelligence, Social Netw...James Hendler
Jim Hendler discusses social machines, which he defines as networks of machines supporting networks of people working together in ways that impact the real world. He argues that social networking consumes huge amounts of human time and that this time could be harnessed through social machines to solve problems like curing disease and feeding the hungry. Examples of early social machines include games with a purpose that harness human computation and citizen science projects like Galaxy Zoo. Moving forward, social machines may blend more with artificial intelligence, and their study requires multidisciplinary perspectives from computing, social science, and other fields. Realizing their potential faces both social challenges around online communities and technical challenges in platform design.
Bernard Marr just published Generative AI in Practice (1), which brings together the matter he has been dealing with on his blogs: Artificial Intelligence from the simple practical point of view of a user along with a systematic question about what can the consequences be for the various jobs these users have? But the book is always schematic when it shows the negative consequences will not compare with the positive consequences, though bad or good, they will require a lot of changes in the way we work, the jobs available, and the mindset of the users.
Bernard Marr does not insist so much on the negative sides of GenAI, but he does list them, particularly all sorts of cheating by using GenAI to replace one’s own writing work, all types of misuse of the intellectual property of such mechanical production of text, images, videos or any other copyrightable product that the user presents as his/her own.
But he does not enter the details, and thus he remains superficial. The problems of misinformation, hallucination, and bias are a lot less important, even with deep fakes, though Bernard Marr remains superficial on such dangers. He considers these GenAI products more like patentable or trademark problems, which they are but that’s the only side or point of view of the businesses using this technology.
At the present moment, lawsuits are emerging on the Intellectual Property front with people getting ready to go to court for unauthorized use of protected data and items within LLMs, or the use of voices, slightly synthesized (hence plagiarism and plain theft) as commercial products sold with an unshared profit. I will concentrate, in the second part, on chapter 10 on education to enter some details I know from the practice of self-learning at many levels of the educational system. (2)
Artificial Intelligence and Socially Empathetic Robotsclairey08
The document discusses artificial intelligence and social aspects of robotics. It describes Zeno, an interactive robotic companion that can engage in conversation and convey emotion. It also discusses the "uncanny valley" theory that robots made to look very human can seem grotesque. The document outlines the KISMET robot project which aims to develop robots that can interact cooperatively with humans. It raises questions about whether AI machines could replace humans in the workplace and how to ensure their safe and reliable operation according to programming.
Harry Collins - Testing Machines as Social Prostheses - EuroSTAR 2013TEST Huddle
This document discusses the use of Hawk-Eye technology in tennis line judging and whether humans or machines can make more accurate judgments. It describes an experiment where a blind person pretends to be a tennis fan and discusses Hawk-Eye with a sighted tennis expert to test their knowledge. The expert expresses uncertainty around human ability to accurately judge ball flights within millimeters but acknowledges Hawk-Eye is still imperfect. A second blind respondent judges the interaction, finding inconsistencies that suggest the first was actually sighted.
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Chatbots, Personal Assistants and the Future of Artificial Intelligence
1. WHERE WE ARE NOW, WHERE WE ARE
HEADING AND HOW TO GET THERE SAFELY
CHATBOTS AND THE PATH TO
ARTIFICIAL INTELLIGENCE
Yisela Alvarez Trentini | MRM McCann, August 2016
2. WHAT IS A BOT
A bot is any application that
you communicate with, via
speech or text, in order to
execute commands.
2
3. INTRO
The bot revolution can
be compared to the
mobile revolution
Although it was a
progression, bots are
possible now due to
massive amounts of
data and hardware
It’s more of a tech-driven
vision, not a response to
concrete user demands
Yisela Alvarez Trentini | MRM McCann, August 2016 3
Facebook‘s M
WeChat
Microsoft Win + Azure
Google
4. THREE TRENDS DRIVING SMART BOTS
• Messaging-as-OS: Messaging as a new platform
• The app problem: People are reluctant to install
apps, or apps are becoming redundant
• The “conversational interface”: A new model for
interacting with online services
Yisela Alvarez Trentini | MRM McCann, August 2016 4
5. Yisela Alvarez Trentini | MRM McCann, August 2016 5
1974: Command line 2016: A Slack channel
“Command lines were notoriously intimidating and difficult to get the
hang of. Slack is the exact opposite—it’s charming, fun, and easy to
understand—yet it runs off the same principle.”
Archana Madhavan
BACK TO A MINIMAL INTERFACE
The future: ?
9. STATELESS BOTS
• Each request that a program processes disappears
from the server’s memory.
• Bots are stateless by default. Apps receive requests,
bts receive messages. If the web server were to
keep track of the requests it had processed, it would
soon collapse under its own weight.
• Each message is considered a new interaction.
Yisela Alvarez Trentini | MRM McCann, August 2016 9
10. Created by Joseph Weizenbaum (MIT) in
1966.
Acts like a non-directional
psychotherapist in an initial
phsyachriatic interview. Open,
introspective questions.
http://www.masswerk.at/elizabot/
Yisela Alvarez Trentini | MRM McCann, August 2016 10
THE FIRST BOT: ELIZA
11. Simple pattern matching techniques (parsing and
substitution of key words)
Yisela Alvarez Trentini | MRM McCann, August 2016 11
ELIZA’S INNER WORKINGS
12. OTHER STATELESS BOTS
Yisela Alvarez Trentini | MRM McCann, August 2016 12
A bot that twits images from
museum collections
A bot that replaces the word „boy“ with „bot“A bot that posts random art assignments
1
2
3
14. Made by XOXCO in 2016 and integrated with
Slack.
Easy to install, works out of the box.
A „digital coworker“ to automate:
Asynchronus communication
Plan meetings
Collect lunch orders
Highly effective for a limited scope of tasks.
Yisela Alvarez Trentini | MRM McCann, August 2016 14
Howdy
https://howdy.ai/
15. WHAT SEMI-STATEFUL BOTS ARE GOOD AT
TODAY
In the workplace: Automating small routine tasks, run
surveys, act as a bridge between gaps
Healthcare: Follow-ups and reminders (Sense.ly), answer
questions (Your.MD), health coaching
Onboarding: Guiding through materials
Used for evil: Social network spamming, profile clonning
Yisela Alvarez Trentini | MRM McCann, August 2016 15
16. Yisela Alvarez Trentini | MRM McCann, August 2016 16
November 1996
Clippy
Too
anthropomorphic
but not human.
“Optimized for first
use”. Always.
Enabled by
default. Every
time.
17. USEFUL VS FUN
Yisela Alvarez Trentini | MRM McCann, August 2016 17
Why people hate the paperclip:
Labels, appearance, behavior and
Social responses to user interface agents
Luke Swartz
Stanford University 2003
18. FITNESS ASSISTANT
In 2008, Cory Kidd completed a study with a robot intended to aid in fitness
and weight loss goals, by providing a social presence with which study
participants tracked their routines.
Yisela Alvarez Trentini | MRM McCann, August 2016 18
Most used “he” or
“she” when talking
about their robot
1 never returned the
robot
Group 1
Pen & Paper
Group 2
Touchscreen
Group 1
Touchscreen + Robot
19. THE PERCEPTION OF BOTS
We instinctively treat computers like people and use the
same standards of politeness, gender stereotypes, teamwork
and reciprocity.
Many said that Eliza helped them, and some asked the
people conducting the test to leave them alone with her so
they could discuss things in private. It was even considered a
low-cost way to handle people with mild psychological
problems.
Yisela Alvarez Trentini | MRM McCann, August 2016 19
20. THE UNCANNY VALLEY
However, making
making machines
more humanlike is
good up to a point,
after which they
become
discomforting or
creepy.
Yisela Alvarez Trentini | MRM McCann, August 2016 20
21. WHAT DOES THIS MEAN FOR CHATBOTS?
Project Name | Date 21
22. PERSONALITY
Most users will build a relationship
with their bots.
In conversational UIs, personality is
the new UX. The entire app experience
is reduced to a few lines of text.
Microcopy is now king.
Writers and comedians collaborate with
UX to create engaging bots.
Yisela Alvarez Trentini | MRM McCann, August 2016 22
23. CHAT BOTS WORKING ALONGSIDE HUMANS
Supervised A.I: In Facebook M, bots gather information for an
eventual interaction with a human rep.
Yisela Alvarez Trentini | MRM McCann, August 2016 23
While the rep
answers, the
machine learns.
How?
25. A.I. POWERED BOTS: MACHINE LEARNING
For a machine to recognise cats, a person must first provide it with
thousands of photos of cats and not cats.
Yisela Alvarez Trentini | MRM McCann, August 2016 25
CAT!
Feed the machine thousands
of photos of cats (and noncats)
Show the machine a photo of a cat,
and it should recognise it as such.
?
cat
cat cat
cat cat
Not cat
Not cat
26. A.I. POWERED BOTS: DEEP NEURAL
NETWORKS
Neural network are
used to simulate
densely interconnected
brain cells.
The computer can learn
things, recognize
patterns, and make
decisions in a
humanlike way.
Yisela Alvarez Trentini | MRM McCann, August 2016 26
NOT CAT!
CAT!
color
edges
color
blobs
27. Samatha is an intelligent personal OS from
the movie Her by Spike Jonze.
Has impressive knowledge of the physical world.
Can understand human emotion and show empathy.
Can reason and debate.
Yisela Alvarez Trentini | MRM McCann, August 2016 27
28. BOTS AND LANGUAGE
Our language is a compact and effective system, but relies
on the assumption of intelligence and a common social and
physical world.
Yisela Alvarez Trentini | MRM McCann, August 2016 28
„The trophy will not fit in the brown suitcase
because it was too big.“
What was too big? Answer 0: the trophy; Answer 1: the suitcase.
29. BOTS AND LANGUAGE
Yisela Alvarez Trentini | MRM McCann, August 2016 29
• Bots need to learn to speak (or think) like us, without a physical
world or the time to learn about it like we have.
• Machines also need to understand how humans work on an
emotional level: Detect and analyse emotions, extract concepts
from dialog, showing empathy.
• Symbolic processing (humans) + machine learning (system)
• We both need a model of the other, as well of one of the world.
30. ONCE OUR BOTS CAN TALK...
• Do we want „always-aware“ systems?
• Should our assistant bots interact with other people’s?
• How can we teach the machine introspection? (the ability to
communicate the exact process that leads to their choices.)
• Is it necessary to make machines human-like? Do they need to
converse? Do you talk to a bot, or use one?
• What are the dangers of captology and creating bots that can be truly
persuasive?
• Human Rights Watch is looking for an international treaty to ban
military robots with autonomous lethal firing power. How far are we
from this?
Yisela Alvarez Trentini | MRM McCann, August 2016 30
31. IF YOU EVER MAKE A BOT...
1. A robot may not injure a human being or, through
inaction, allow a human being to come to harm.
2. A robot must obey orders given it by human beings
except where such orders would conflict with the First
Law.
3. A robot must protect its own existence as long as such
protection does not conflict with the First or Second Law.
31
32. REFERENCES
• Weizenbaum, Joseph "ELIZA – A Computer Program For the Study of Natural Language
Communication Between Man and Machine" in: Communications of the ACM; Volume 9 , Issue 1
(January 1966): p 36-45.
• About neural networks: http://www.explainthatstuff.com/introduction-to-neural-networks.html
• How Humans Respond to Robots: Building Public Policy through Good Design
https://www.brookings.edu/research/how-humans-respond-to-robots-building-public-policy-through-
good-design/
• "WHY PEOPLE HATE THE PAPERCLIP: LABELS, APPEARANCE, BEHAVIOR AND SOCIAL
RESPONSES TO USER INTERFACE AGENTS", Luke Swartz, June 12, 2003, Honors Thesis for
Symbolic Systems Program, Stanford University
• C. Kidd and C. Breazeal. A Robotic Weight Loss Coach. Twenty-Second Conference on Artificial
Intelligence, 2007.
Yisela Alvarez Trentini | MRM McCann, August 2016 32